The Mathematical Methods Journal Club meets weekly to discuss problems in different application areas (often, but not always water waves) using a large variety of methods, both analytical and numerical. The discussions are centered around a presentation by one speaker. Frequently, these speakers are group members (students, postdocs or faculty), but occasionally outside speakers present, either in person or online. Some Journal Club participants are affiliated with Seattle University, and occasionally the presentations take place there. Otherwise they are in Lewis 208 (Wan Conference Room) on the UW campus. A variety of snacks is always present. All are welcome to attend. UW Students wishing to register should contact Professor Bernard Deconinck for more information.
Numerical Analysis Research Club
The Numerical Analysis Research Club (NARC) at the University of Washington meets once a week for a combination of seminars, student presentations and research discussions. Anyone interested in numerical analysis or scientific computing is welcome to attend. More information can be found on the web or you can reach out to Professor Tom Trogdon.
Applied Analysis Research Group
The Applied Analysis Research Group (AARG) meets once a week to discuss developments in analysis from both an applied and theoretical perspective. Discussions will center around a specific topic such as orthogonal polynomials and spectral methods, Riemann--Hilbert problems, random matrix theory and numerical linear algebra. All are welcome to attend. UW Students wishing to register should contact Professor Tom Trogdon for more information.
Theoretical Neuroscience
The Theoretical Neuroscience Journal Club (TNJC) is a group of students and faculty in applied mathematics, biology, and neurobiology who are interested in theoretical neurobiology. TNJC meets once a week and encourages participants to explore topics of common interest.
Mathematics of Machine Learning Journal Club
The goal of the JC is for people interested in the mathematical aspects of machine learning and data science to get together, read papers and books, and to learn about new ideas and advances in the field. Additionally, the JC provides an opportunity for students to present research papers or their own projects in a friendly and informal environment to receive feedback and gain experience in the art of presentation. We meet on a weekly basis. For more information contact: Professor Bamdad Hosseini.